Businesses have always relied on data, but they never were able to get full value out of them when they were siloed by ...

“We’re doing something that has the capability of a CPU but is one or two orders of magnitude more efficient,” says co-founder Brandon Lucia.

The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and diverse teams ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

How S&P is using deep web scraping, ensemble learning and Snowflake architecture to collect 5X more data on SMEs ...

Games RPG Path of Exile 2 Path of Exile 2 director says GGG is learning from its mistakes while supporting 2 games at once: 'If you want to lock the date, you can't lock the features' News ...

A federal judge in New York cleared a path Tuesday for the Treasury Department’s DOGE team to access data systems that contain sensitive financial information on millions of Americans, stating ...

Because AI models cannot effectively train themselves on their own output, known as synthetic data, they require the regular infusion of new training data to evolve and maintain integrity.

The results are in! This comprehensive study tracks enterprise adoption rates and maturity across key architectural patterns - from cloud data warehouses and real-time analytics to data lakehouses, ...